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Pongprecha/distilbert_base_data_wnut_17
distilbert_base_data_wnut_17 is a token classification model from Pongprecha. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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.safetensors266 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 213 | 0.2740 | 0.6152 | 0.2919 | 0.3960 | 0.9404 |
| No log | 2.0 | 426 | 0.2568 | 0.5997 | 0.3679 | 0.4561 | 0.9450 |
| 0.1764 | 3.0 | 639 | 0.2844 | 0.6269 | 0.3457 | 0.4456 | 0.9464 |
| 0.1764 | 4.0 | 852 | 0.2963 | 0.5564 | 0.3522 | 0.4313 | 0.9459 |
| 0.0526 | 5.0 | 1065 | 0.2833 | 0.5246 | 0.3855 | 0.4444 | 0.9461 |